FlexSDS Parallel DFS
Client side software stack for parallel accessing to the FlexSDS DFS
FlexSDS Parallel Distributed File System
High-Performance, Scalable File Storage Engine for AI, ML, and Data-Intensive Workloads
FlexSDS Parallel-DFS is a next-generation distributed file system engineered for modern, high-throughput computing environments. Designed from the ground up to meet the demands of AI, machine learning, big data analytics, and large-scale unstructured data storage, DPFS delivers unmatched performance, scalability, and flexibility.
Why choose FlexSDS Parallel DFS?
FlexSDS Parallel-DFS redefines how storage scales with compute in distributed systems. Whether you’re deploying AI clusters, powering high-resolution video editing, or supporting enterprise-scale data analytics, Parallel-DFS offers the performance, reliability, and flexibility needed to move at the speed of innovation.
Key Features
Optimized for AI/ML Workloads
FlexSDS Parallel-DFS is tailored for data pipelines that involve massive I/O operations, supporting fast, parallel read access that accelerates training, inference, and data preparation phases.
Write-Once, Read-Many Efficiency
Perfect for data lakes and large model datasets, FlexSDS Parallel-DFS optimizes scenarios where data is written once and accessed multiple times across clusters.
User-Space, High-Performance Architecture
Leveraging a kernel-bypass, lock-free, zero-copy design, FlexSDS Parallel-DFS maximizes IOPS and throughput while minimizing latency and CPU overhead.
True Parallel Access
FlexSDS Parallel-DFS enables clients to directly read from distributed data chunks across nodes, powered by FlexSDS’s high-performance node-matrix RPC layer—ensuring scalable, parallel throughput.
Flexible Access Interfaces
- Native API: Provides ultra-low latency and high-efficiency data access for critical workloads.
- FUSE Interface: Enables easy integration for general-purpose applications and system-level management.
Built-in High Availability with VIPs
FlexSDS Parallel-DFS supports virtual floating IPs for seamless failover and service continuity. Any node can act as a Metadata Server (MDS), ensuring resilient and fault-tolerant file system operations.